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Title: Hierarchically optical double-image correlation using 3D phase retrieval algorithm in fractional Fourier transform domain
Authors: Chen, W 
Issue Date: 15-Nov-2018
Source: Optics communications, 15 Nov. 2018, v. 427, p. 374-381
Abstract: In this paper, hierarchically optical double-image correlation is proposed by using 3D phase retrieval algorithm with a series of random function orders in fractional Fourier transform domain. At each hierarchical level, two grayscale input images are divided into particle-like points placed in 3D space, which are encoded into phase-only patterns using an iterative phase retrieval algorithm with a series of random function orders in fractional Fourier transform. The results illustrate that when the extracted phase-only patterns are compressed, optical double-grayscale-image correlation can be effectively conducted without the visualization of input information at each hierarchical level in 3D space. The proposed method provides a novel strategy for 3D optical security, and can effectively enhance the flexibility for the optically secured correlation in 3D space.
Keywords: Optical correlation
3D phase retrieval algorithm
Optical security
Publisher: Elsevier
Journal: Optics communications 
ISSN: 0030-4018
EISSN: 1873-0310
DOI: 10.1016/j.optcom.2018.06.084
Rights: © 2018 Elsevier B.V. All rights reserved.
© 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.
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